The theory borrows optimal-foraging models and explains path choice by benefit-to-cost ratio

What it is

Information foraging theory borrows from optimal foraging theory: users allocate time among information patches to maximize relevant gain relative to attention, reading, navigation, and processing costs. This ratio explains why users do not enumerate all sources but optimize paths guided by scent.

Why it happens

Benefit includes task-relevant facts, understandable explanation, or reusable answers; costs include search, reading, waiting, switching, verification, and forgetting risk. Users estimate gain per unit time for each path and update with evidence. Changing interface cost structure—longer forms, more advertising, slow loading, or low-quality results—changes choice even when total content is unchanged.

Studying it

Record path length, dwell time, amount read, clicks, backtracking, and final gain; relate time spent to relevant information extracted. Logs can estimate path-level benefit-cost, while think-aloud explains subjective estimates. Experiments can manipulate scent strength, result quality, and delay to observe switching.

Where it stops holding

Users are not strict optimizers; the aim is approximate adaptation shaped by habit, obligation, emotion, and social constraints. Benefit is hard to objectify and must be defined per task. The model explains patterns and compares designs; it is not a precise per-person predictor.

Applying it

• Reduce ineffective reading, registration, popups, and waiting before key information.
• Show verifiable benefit early: answer sentence, data range, update time, and applicability.
• Provide summaries, previews, or progressive disclosure for high-cost paths.
• Use logs to find pages with low benefit and high time, then rewrite content or restructure navigation.

Related

• Same group: B4.09.1 Users follow paths according to information scent · B4.09.2 Weak scent leads to abandonment rather than deeper search · B4.09.3 Link and label wording directly determines scent strength · B4.09.5 Users leave an information patch only when its yield falls below the environment’s average · B4.09.6 Scent is a subjective judgment of cues and may mismatch true relevance · B4.09.7 Increasing cue density and shortening path length are different interventions with noninterchangeable effects · B4.09.8 The theory explains abandonment and retreat, not why the goal arose
• Nearby: B4.09 Information Foraging Theory · Q4 Research Methods and Evaluation
• Search terms: optimal foraging · benefit cost ratio · information gain